DeltaAnalyzer

Instructions:
- Connect Notebook to Lakehouse (does not have to be in same Workspace)
- Update deltaTable parameter immedately below instructions with name of table to analyze
- Review other parameters (append vs overwrite) 
- Run
- Review four output tables that have "zz_n_DeltaAnalyzerOutput"

zz_1_DeltaAnalyzerOutput_parquetFiles
    This table has one row per Parquet file
    Ideally, there should not be thousands of these
    This table only uses parquet file metadata and should be quick to populate

zz_2_DeltaAnalyzerOutput_rowRowgroups
    This table has one row per rowgroup and shows rowgroups for every parquet file
    Look for the number of rows per rowgroup.  Ideally this should be 1M to 16M rows (higher the better)
    This table only uses parquet file metadata and should be quick to populate

zz_3_DeltaAnalyzerOutput_columnChunks
    One row per column/chunk within rowgroups
    Large number of output and has much more detail about dictionaries and compression
    This table only uses parquet file metadata and should be quick to populate

zz_4_DeltaAnalyzerOutput_columns
    One row per column of the table
    Look to see how many unique values per column.  If using floating point, consider modifying parquet file to use DECIMAL(17,4)
    This table runs a compute query against the Detla table so may take time depending on size of Delta table

Run 
%%sql
OPTIMIZE tablename vorder 


Footnote:
    Useful doc
    https://www.javadoc.io/doc/org.apache.parquet/parquet-hadoop/latest/index.html